Olostep provides a unified API for web data access, enabling scraping, crawling, and data extraction from websites. It supports browser rendering and residential proxies to deliver clean data in formats like Markdown, HTML, or structured JSON. This platform allows developers to automate web research workflows and build data pipelines using natural language prompts for AI agents.
Funding
Funding not disclosed
Founders
Product
Problem
AI applications and large language models require efficient web scraping and content extraction, but traditional methods often struggle with JavaScript-heavy websites and IP blocking. Existing solutions can be slow, expensive, and lack the ability to fully render web pages as a human user would.
Solution
Olostep provides an API that leverages a distributed network of real browsers to enable AI models to interact with web content in a human-like manner. The API offers full JavaScript support and residential IP addresses, ensuring accurate and reliable data retrieval. Users can extract HTML, Markdown, PDF, or plain text from web pages, and utilize transformers to extract only the most relevant content.
Target Audience
Olostep is designed for startups and developers in the AI space, including those building AI agents or fine-tuning LLMs on specific datasets, who need a fast, scalable, and cost-effective way to retrieve data from the web.
Features
- API access to a distributed network of real browsers
- Full JavaScript rendering using the V8 Chrome engine
- Residential IP addresses to avoid IP blocking
- Parallel execution of up to 70 concurrent threads for fast scraping
- Batch executions for scraping up to 20,000 pages in minutes
- Ability to extract HTML, Markdown, PDF, and plain text
- Content transformers for extracting specific content
- Multi-depth crawling for recursively scraping linked content